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Spontaneous network formation among cooperative RNA replicators

Author

Listed:
  • Nilesh Vaidya

    (Portland State University, PO Box 751, Portland, Oregon 97207, USA)

  • Michael L. Manapat

    (School of Engineering and Applied Sciences and Program for Evolutionary Dynamics, Harvard University)

  • Irene A. Chen

    (FAS Center for Systems Biology, Harvard University
    Present address: Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106, USA.)

  • Ramon Xulvi-Brunet

    (FAS Center for Systems Biology, Harvard University)

  • Eric J. Hayden

    (Stanford University)

  • Niles Lehman

    (Portland State University, PO Box 751, Portland, Oregon 97207, USA)

Abstract

The origins of life on Earth required the establishment of self-replicating chemical systems capable of maintaining and evolving biological information. In an RNA world, single self-replicating RNAs would have faced the extreme challenge of possessing a mutation rate low enough both to sustain their own information and to compete successfully against molecular parasites with limited evolvability. Thus theoretical analyses suggest that networks of interacting molecules were more likely to develop and sustain life-like behaviour. Here we show that mixtures of RNA fragments that self-assemble into self-replicating ribozymes spontaneously form cooperative catalytic cycles and networks. We find that a specific three-membered network has highly cooperative growth dynamics. When such cooperative networks are competed directly against selfish autocatalytic cycles, the former grow faster, indicating an intrinsic ability of RNA populations to evolve greater complexity through cooperation. We can observe the evolvability of networks through in vitro selection. Our experiments highlight the advantages of cooperative behaviour even at the molecular stages of nascent life.

Suggested Citation

  • Nilesh Vaidya & Michael L. Manapat & Irene A. Chen & Ramon Xulvi-Brunet & Eric J. Hayden & Niles Lehman, 2012. "Spontaneous network formation among cooperative RNA replicators," Nature, Nature, vol. 491(7422), pages 72-77, November.
  • Handle: RePEc:nat:nature:v:491:y:2012:i:7422:d:10.1038_nature11549
    DOI: 10.1038/nature11549
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    Cited by:

    1. Vincent Ouazan-Reboul & Jaime Agudo-Canalejo & Ramin Golestanian, 2023. "Self-organization of primitive metabolic cycles due to non-reciprocal interactions," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Friedrich, Thomas & Köpper, Wilhelm, 2013. "Schumpeter´s Gale: Mixing and compartmentalization in Economics and Biology," MPRA Paper 45405, University Library of Munich, Germany.
    3. Ryo Mizuuchi & Taro Furubayashi & Norikazu Ichihashi, 2022. "Evolutionary transition from a single RNA replicator to a multiple replicator network," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Rachapun Rotrattanadumrong & Yohei Yokobayashi, 2022. "Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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